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Strengthen the Evidence for Maternal and Child Health Programs

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Evidence Tools
Bullying

Introduction

This toolkit summarizes content from the Bullying Evidence Accelerator and the MCHbest database. The peer-reviewed literature supporting this work can be found in the Established Evidence database. Use the resources below as you develop effective evidence-based/informed programs and measures.

From the MCH Block Grant Guidance. Bullying, particularly among school-age children, is a major public health problem that is associated with a number of behavioral, emotional, and physical adjustment problems. Adolescents who bully others tend to exhibit other defiant and delinquent behaviors, have poor school performance, be more likely to drop-out of school, and are more likely to bring weapons to school. Victims of bullying tend to report feelings of depression, anxiety, low self-esteem, and isolation; poor school performance; suicidal ideation; and suicide attempts. Bullying victims who also perpetrate bullying (i.e., bully-victims) may exhibit the poorest functioning, in comparison with either victims or bullies. Emotional and behavioral problems experienced by victims, bullies, and bully-victims may continue into adulthood and produce long-term negative outcomes, including low self-esteem and self-worth, depression, antisocial behavior, vandalism, drug use and abuse, criminal behavior, gang membership, and suicidal ideation.1 Children with special health care needs are particularly vulnerable to bullying, with the prevalence of bullying over two times higher for children with special health care needs compared to children without special health care needs.2 Dedicated support and prevention strategies are needed to support children and prevent bullying.

Goal. To reduce the percent of adolescents with and without special health care needs who are bullied or who bully others.

Note. Access other related measures in this Population Domain through the Toolkits page.

Detail Sheet: Start with the MCH Block Grant Guidance

GOAL:To increase the percent of children who are physically active.

DEFINITION:
Numerators: Number of adolescents in grades 9 through 12 who report that they are bullied on school property or electronically in the past year (YRBSS) Number of adolescents, ages 12 through 17, with and without special health care needs, who are reported by a parent to have been bullied in the past year (NSCH) Number of adolescents, ages 12 through 17, with and without special health care needs, who are reported by a parent to have bullied others in the past year (NSCH)

Denominators: Number of adolescents in grades 9 through 12 (YRBSS); Number of adolescents ages 12 through 17 (NSCH)

Units: 100
Text: Percent

HEALTHY PEOPLE 2030 OBJECTIVE: Related to LGBT Objective 05: Reduce bullying of sexual minority (lesbian, gay, bisexual) high school students. (Baseline: 33.0% in 2017, Target: 25.1%) Related to LGBT Objective D1: Reduce bullying of transgender students. (Developmental)

DATA SOURCES: Youth Risk Behavior Surveillance System (YRBSS); National Survey of Children's Health (NSCH)

MCH POPULATION DOMAIN: Children with Special Health Care Needs or All Adolescents (CSHCN and non-CSHCN)

MEASURE DOMAIN: Social Determinants of Health

1. Accelerate with EvidenceStart with the Science

The first step to accelerate effective, evidence-based/informed programs is ensuring that the strategies we implement are meaningful and have high potential to affect desired change. Read more about using evidence-based/informed programs and then use this section to find strategies that you can adopt or adapt for your needs.

Evidence-based/Informed Strategies: MCHbest Database

The following strategies have emerged from studies in the scientific literature as being effective in advancing the measure. Use the links below to read more about each strategy or access the MCHbest database to find additional strategies.

Chart of Evidence-Linked Strategies and Tools

Evidence-Informed

Evidence-Based

Mixed Evidence

Emerging Evidence

Expert Opinion

Moderate Evidence

Scientifically Rigorous

 

 

Field-Based Strategies: Find promising programs from AMCHP’s Innovation Hub

2. Think Upstream with Planning ToolsLead with the Need

The second step in developing effective, evidence-based/informed programs challenges us to plan upstream to ensure that our work addresses issues early and is measurable in “turning the curve” on big issues that face MCH populations. Read more about moving from root causes to responsive programs and then use this section to align your work with the data and needs of your populations.

Move from Need to Strategy

Use Root-Cause Analysis (RCA) and Results-Based Accountability (RBA) tools to build upon the science to determine how to address needs.

Planning Tools: Use these tools to move from data to action

3. Work Together with Implementation ToolsMove from Planning to Practice

The third step in developing effective, evidence-based/informed programs calls us to work together to ensure that programs are implementable and moveable within the realities of Title V programs and lead to improved health outcomes for all people. Read more about implementation tools designed for MCH population change and then use this section to develop responsive strategies to bring about change that is responsive to the needs of your populations.

Additional MCH Evidence Center Resources: Access supplemental materials from the literature

Implementation Resources: Use these field-generated resources to affect change

Practice. The following tools can be used to translate evidence to action to advance this NPM:

Partnership. The following organizations focus efforts on reducing bullying behavior:

Additional Resources:


References

Introductory References: From the MCH Block Grant Guidance

1 U.S. Department of Health and Human Services. StopBullying.gov. (n.d.).

2 Child and Adolescent Health Measurement Initiative. 2020-2021 National Survey of Children’s Health (NSCH) data query. Data Resource Center for Child and Adolescent Health supported by the U.S. Department of Health and Human Services, Health Resources and Services Administration (HRSA), Maternal and Child Health Bureau (MCHB). Retrieved 01/30/23 from https://www.childhealthdata.org/browse/survey/results?q=9586&r=1&g=1000

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number U02MC31613, MCH Advanced Education Policy, $3.5 M. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.